| Overview of the fourth social media mining for health (SMM4H) shared tasks at ACL 2019 D Weissenbacher, A Sarker, A Magge, A Daughton, K O’Connor, M Paul, ... Proceedings of the fourth social media mining for health applications …, 2019 | 111 | 2019 |
| Overview of the sixth social media mining for health applications (# SMM4H) shared tasks at NAACL 2021 A Magge, A Klein, A Miranda-Escalada, MA Al-Garadi, I Alimova, ... Proceedings of the sixth social media mining for health (# SMM4H) workshop …, 2021 | 73 | 2021 |
| Toward using Twitter for tracking COVID-19: a natural language processing pipeline and exploratory data set AZ Klein, A Magge, K O'Connor, JI Flores Amaro, D Weissenbacher, ... Journal of medical Internet research 23 (1), e25314, 2021 | 70 | 2021 |
| Overview of the fifth social media mining for health applications (# smm4h) shared tasks at coling 2020 A Klein, I Alimova, I Flores, A Magge, Z Miftahutdinov, AL Minard, ... Proceedings of the fifth social media mining for health applications …, 2020 | 69 | 2020 |
| Deep neural networks ensemble for detecting medication mentions in tweets D Weissenbacher, A Sarker, A Klein, K O’Connor, A Magge, ... Journal of the American Medical Informatics Association 26 (12), 1618-1626, 2019 | 56 | 2019 |
| Discovering cohorts of pregnant women from social media for safety surveillance and analysis A Sarker, P Chandrashekar, A Magge, H Cai, A Klein, G Gonzalez Journal of medical Internet research 19 (10), e361, 2017 | 56 | 2017 |
| DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter A Magge, E Tutubalina, Z Miftahutdinov, I Alimova, A Dirkson, S Verberne, ... Journal of the American Medical Informatics Association 28 (10), 2184-2192, 2021 | 49 | 2021 |
| Overview of the seventh social media mining for health applications (# SMM4H) shared tasks at COLING 2022 D Weissenbacher, J Banda, V Davydova, DE Zavala, LG Sánchez, Y Ge, ... Proceedings of the seventh workshop on social media mining for health …, 2022 | 42 | 2022 |
| Deep neural networks and distant supervision for geographic location mention extraction A Magge, D Weissenbacher, A Sarker, M Scotch, G Gonzalez-Hernandez Bioinformatics 34 (13), i565-i573, 2018 | 33 | 2018 |
| Semeval-2019 task 12: Toponym resolution in scientific papers D Weissenbacher, A Magge, K O’Connor, M Scotch, G Gonzalez Proceedings of the 13th international workshop on semantic evaluation, 907-916, 2019 | 31 | 2019 |
| Clinical NER and relation extraction using bi-char-LSTMs and random forest classifiers A Magge, M Scotch, G Gonzalez-Hernandez International workshop on medication and adverse drug event detection, 25-30, 2018 | 31 | 2018 |
| A chronological and geographical analysis of personal reports of COVID-19 on Twitter AZ Klein, A Magge, KMS O’Connor, H Cai, D Weissenbacher, ... MedRxiv, 2020 | 25 | 2020 |
| ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets AZ Klein, A Magge, G Gonzalez-Hernandez PloS one 17 (1), e0262087, 2022 | 19 | 2022 |
| Extending A chronological and geographical analysis of personal reports of COVID-19 on Twitter to England, UK S Golder, AZ Klein, A Magge, K O’Connor, H Cai, D Weissenbacher, ... medRxiv, 2020 | 16 | 2020 |
| Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography M Scotch, T Tahsin, D Weissenbacher, K O’Connor, A Magge, M Vaiente, ... Virus Evolution 5 (1), vey043, 2019 | 16 | 2019 |
| GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records T Tahsin, D Weissenbacher, K O’Connor, A Magge, M Scotch, ... Bioinformatics 34 (9), 1606-1608, 2018 | 15 | 2018 |
| Comment on:“Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts” A Magge, A Sarker, A Nikfarjam, G Gonzalez-Hernandez Journal of the American Medical Informatics Association 26 (6), 577-579, 2019 | 14 | 2019 |
| Addressing extreme imbalance for detecting medications mentioned in twitter user timelines D Weissenbacher, S Rawal, A Magge, G Gonzalez-Hernandez International Conference on Artificial Intelligence in Medicine, 93-102, 2021 | 12 | 2021 |
| Bi-directional recurrent neural network models for geographic location extraction in biomedical literature A Magge, D Weissenbacher, A Sarker, M Scotch, G Gonzalez-Hernandez BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 100-111, 2018 | 12 | 2018 |
| A rule-based approach to determining pregnancy timeframe from contextual social media postings M Rouhizadeh, A Magge, A Klein, A Sarker, G Gonzalez Proceedings of the 2018 International Conference on Digital Health, 16-20, 2018 | 11 | 2018 |
Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical Center在 cshs.org 的电子邮件经过验证
